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Imam Mukhlash
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Departemen Matematika, Gedung F Lantai II, Kampus ITS, Keputih, Sukolilo-Surabaya 60111 Jawa Timur, Indonesia Phone: +62 31-5943354 Email:ijcsam.matematika@its.ac.id
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International Journal of Computing Science and Applied Mathematics-IJCSAM
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 24775401     DOI : -
Core Subject : Education,
Mathematics
IJCSAM (International Journal of Computing Science and Applied Mathematics) is an open access journal publishing advanced results in the fields of computations, science and applied mathematics, as mentioned explicitly in the scope of the journal. The journal is geared towards dissemination of original research and practical contributions by both scientists and engineers, from both academia and industry. IJCSAM (International Journal of Computing Science and Applied Mathematics) is a journal published by Pusat Publikasi Ilmiah LPPM, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
Arjuna Subject : Matematika - Matematika Terapan
Articles 6 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2018)" : 6 Documents clear
Skew Semi-Heyting Algebras Berhanu Assaye Alaba; Mihret Alamneh; Yeshiwas Mebrat Gubena
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 4 No. 1 (2018)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

In this paper, we introduce the concept of skew semi-Heyting algebra and extend the notions of semi-Heyting algebras. We characterize a skew semi-Heyting algebra as a skew Heyting algebra interms of a unique binary operation on which an induced binary operation is defined, and some algebraic properties on it.
Weight Optimization of Optimal Control Influenza Model Using Artificial Bee Colony Dinita Rahmalia; Teguh Herlambang
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 4 No. 1 (2018)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Influenza is disease which can be contagious through contact with infected individual. There are two types of control strategies to bound the spread of disease: prevention action for controlling susceptible and treatment for controlling infected. Optimal control is used for minimizing the number of infected individual, the cost of prevention action and the cost of treatment. Due to the cost of objective function depends on weight, in this research we will apply Artificial Bee Colony algorithm to optimize weight minimizing cost of objective function. The simulations show that the number of infected with control is lower than without control. Furthermore, we also obtain optimal weight related to cost of prevention action and treatment.
Implicative Almost Distributive Lattice Berhanu Assaye Alaba; Mihret Alamneh; Tilahun Mekonnen Munie
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 4 No. 1 (2018)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

In this paper, we introduce the concept of Implicative Almost Distributive Lattices (IADLs) as a generalization of implicative algebra in the class of Almost Distributive Lattices. We discuss some properties of IADL and derive some equivalent conditions in IADLs. We also discuss some characterizations of IADL to become an implicative algebra
Heyting Almost Distributive fuzzy Lattices Berhanu Assaye Alaba; Derebew Nigussie Derso
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 4 No. 1 (2018)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

In this paper, we introduce the concept of Heyting almost distributive fuzzy lattices (HADFL) using the concepts of Heyting almost distributive lattices (HADL), almost distributive fuzzy lattices, fuzzy partial order relation and fuzzy Heyting algebra. Using the properties of fuzzy Heyting algebra, we also give a necessary and sufficient condition for an HADFL to be fuzzy Heyting algebra (FHA).
Zika Virus Mutation and The Spreading to Indonesia Mohammad Syaiful Pradana; Siti Amiroch
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 4 No. 1 (2018)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

More than 13 countries in the Americas have reported sporadic Zika virus infection that show very rapid geographic expansion. While in Indonesia, the euphoria is also increasingly prevalent virus discussed especially after the discovery of Jambi positive patients infected with the virus Zika on January 26, 2016 last.Viruses transmitted by mosquito bites to humans are the same mosquito transmits dengue fever, chikungunya and yellow fever with symptoms that have similar resemblance to the zika virus. Based on similarity of symptoms of infection with dengue virus, can be analyzed using sequence alignment to get identical percentage, local alignment calculation, genetic mutation and the spread of the zika virus to Indonesia. From the whole process, Smith Waterman algorithm can be used to align dengue virus type 1, type 2, type 3, and type 4 with zika virus (Jambi). Mutations between dengue virus and zika virus on average 28% of dissimilarity sequences in the same position between the sequence. Overall, the dengue virus type 1 mutation to the zika virus was 28.2723%, the dengue virus type 2 mutation to the zika virus was 28.1984%, the dengue virus type 3 mutation to the zika virus 27.9373% and the mutation of dengue virus type 4 to the zika virus of 28.7206%. By looking at all mutations, from the simulation results note that the mutations of both viruses include mutation type I. The phylogenetic tree showed the spread of the Zika virus to Indonesia, originally from South Africa, the islands of Chile, Caledonia, the Philippines, Yap Micronesia, Thailand, Cambodia, and finally reached Indonesia. Zika virus jambi suspected of dengue virus mutation because a few years earlier there was a dengue virus outbreaks in a long time in Jambi, it turns out the virus zika jambi is not from mutation dengue virus but the virus comes from the Asian region.
Max Plus Algebra and Petri Net Application on Scheduling of Ship Engine Component’s Spare Part Ordering Farah Azizah; Subiono Subiono
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 4 No. 1 (2018)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Shipping company is a company that runs its business by operating the ships or other businesses that are closely related to the ship. A ship has a main engine and some auxiliary engines to support the ship performance. It needs to do maintenance of engines so that the ship can operate properly. This engine maintenance is replacement of the old engine components with the new ones if the running hours of the components are over. Therefore, in the ship, the spare parts must always be available at least one for each engine component. During this time, the company has experienced a difficulty in determining the time of spare part ordering. When the running hours of engine components are over, the spare parts were not yet available. Then, Petri Net and Max Plus Algebra model will be built to schedule the ordering of ship engine component’s spare part based on the ordering flow and the running hours of engine components. The Petri Net based on the Max Plus Algebra obtains maximum time to order the spare part so that it produces the ship engine component’s spare part ordering schedule in running hour form and date. Therefore, spare part of each ship engine component is always available so that the installation can be timely and never be late.

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